Modelling epidemic curve with SIRD model.
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Updated
Oct 15, 2020 - Python
Modelling epidemic curve with SIRD model.
[UNDER DEVELOPMENT] R package implementing the DAEDALUS model for projecting and optimising health, social, and economic costs of a pandemic.
The official manual to the epispot package
Code used to produce results and figures for BA Pathology project on the prospects of a BCG vaccine program in Great Britain. Developed by Joanna Vieira O'Neill, University of Cambridge.
Code for the paper "Modelling the SARS-CoV-2 epidemic in Croatia: a comparison of three analytic approaches"
Machine learning algorithms for the calibration of epidemiological compartmental models: application to the Italian COVID-19 outbreaks in Italy and to the newly developed SUIHTER model.
Rumour spreading models on social networks
A simple UI to easily build and run custom epidemic models.
Undergraduate Course Work from Public Health 490KR Epidemiologic Data Management & Analysis, Taught by Professor Katherine W. Reeves, PhD, MPH
Final project for the course "Modelli Matematici per la Biomedicina" at Politecnico di Torino, academic year 2020/2021
📈 Examination of the impact of COVID-19 spread by using a custom epidemiological model.
A Random Forest model for predicting incidence of potato blackleg at the landscape-scale.
YouTube Video Viralization Tool: a mathematical tool to optimize efforts of making viral youtube videos.
Implementation of the numerical scheme for the solution of the age-structured SVeaiR model
Agent-based modelling of pandemics using the Susceptible, Infected, Recovered (SIR) framework.
Fitting a stochastic individual based model for arboviral disease.
Educational tool used to visualize and solve the SEIRD epidemiological model with vaccination functionality. Allows the user to save results, parameters and more.
This repository hosts my master's thesis project.
We are the AI-Epidemiology Modeling group at UCF. Our work is focused on the efficient integration of deep learning and epidemiological modeling. The website is under construction and will be ready soon.
This repository contains the code for the paper "Infection Rate Models for COVID-19: Model Risk and Public Health News Sentiment Exposure Adjustments", by Ioannis Chalkiadakis, Kevin Hongxuan Yan, Gareth W. Peters, Pavel V. Shevchenko.
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